def __init__(self, f=None):
'''Open the dataset'''
if not f: f = self.fileinfo['filepath']
self.filelist = [r for r in utilities.rglob(os.path.dirname(f))
] #everything in this dir and below.
led = glob.glob(os.path.dirname(f) +
'/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led, 'rb').read()
'''
metadata has 4 records, each is 4320 (LS) or 6120 (SPOT) bytes long:
File descriptor record;
Scene header record;
Map projection (scene-related) ancillary record;
Radiometric transformation ancillary record.
'''
#Record 2 - Scene header record
record = 2
recordlength = 4320 #LS 5
satellite = utilities.readbinary(meta, (record - 1) * recordlength,
309, 324)
if not satellite[0:7] == 'LANDSAT':
raise NotImplementedError #This error gets ignored in __init__.Open()
def __init__(self,f=None):
'''Open the dataset'''
if not f:f=self.fileinfo['filepath']
led=glob.glob(os.path.dirname(f) + '/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led,'rb').read()
#Record 2 - Scene header record
record=2
recordlength=3960 #SPOT recordlength=3960
satellite=utilities.readbinary(meta,(record-1)*recordlength,613,628)
if not satellite[0:4] == 'SPOT':
raise NotImplementedError #This error gets ignored in __init__.Open()
self.filelist=[r for r in utilities.rglob(os.path.dirname(f))] #everything in this dir and below.
def __init__(self,f=None):
'''Open the dataset'''
if not f:f=self.fileinfo['filepath']
self.filelist=[r for r in utilities.rglob(os.path.dirname(f))] #everything in this dir and below.
led=glob.glob(os.path.dirname(f) + '/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led,'rb').read()
'''
metadata has 4 records, each is 4320 (LS) or 6120 (SPOT) bytes long:
File descriptor record;
Scene header record;
Map projection (scene-related) ancillary record;
Radiometric transformation ancillary record.
'''
#Record 2 - Scene header record
record=2
recordlength=4320 #LS 5
satellite=utilities.readbinary(meta,(record-1)*recordlength,309,324)
if not satellite[0:7] == 'LANDSAT':
raise NotImplementedError #This error gets ignored in __init__.Open()
def __getmetadata__(self,f=None):
'''Populate the metadata'''
if not f:f=self.fileinfo['filepath']
self._gdaldataset = geometry.OpenDataset(f)
led=glob.glob(os.path.dirname(f) + '/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led,'rb').read()
'''
metadata has 4 records, each is 4320 (LS) or 6120 (SPOT) bytes long:
File descriptor record;
Scene header record;
Map projection (scene-related) ancillary record;
Radiometric transformation ancillary record.
'''
#Record 2 - Scene header record
record=2
recordlength=4320 #LS 5
satellite=utilities.readbinary(meta,(record-1)*recordlength,309,324)
#Scene ID, path/row & image date/time
start,stop=37,52
sceneid=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
start,stop=165,180
pathrow=utilities.readbinary(meta,(record-1)*recordlength,start,stop)[1:]
start,stop=117,148
imgdate=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
self.metadata['imgdate']=time.strftime(utilities.datetimeformat,time.strptime(imgdate[0:14],'%Y%m%d%H%M%S')) #ISO 8601
#Ascending/descending flag
start,stop=357,372
if utilities.readbinary(meta,(record-1)*recordlength,start,stop) == 'D':self.metadata['orbit']='Descending'
else:self.metadata['orbit']='Ascending'
#Processing level
start,stop=1573,1588
self.metadata['level']=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#Bands
start,stop=1653,1659
bands=[]
actbands=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
for i in range(0,7): #Loop thru the 7 LS 5 bands
if actbands[i]=='1':bands.append(str(i+1))
self._gdaldataset.GetRasterBand(i+1).SetNoDataValue(0)
#Record 3 - Map projection (scene-related) ancillary record
record=3
#Bands, rows & columns and rotation
nbands = int(self._gdaldataset.RasterCount)
start,stop=333,348
ncols=float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
start,stop=349,364
nrows=float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
start,stop = 445,460
self.metadata['rotation']=float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
if abs(self.metadata['rotation']) < 1:
self.metadata['orientation']='Map oriented'
self.metadata['rotation']=0.0
else:self.metadata['orientation']='Path oriented'
#Sun elevation and azimuth
start,stop=605,620
self.metadata['sunelevation']=float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
start,stop=621,636
self.metadata['sunazimuth']=float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#geometry.CellSizes
start,stop = 365,396
(cellx,celly) = map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
start,stop = 397,412
projection = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
datum = projection[0]
zone = projection[1]
# lat/lons
start,stop = 765,892
coords = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
uly,ulx,ury,urx,lry,lrx,lly,llx = map(float, coords)
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
if int(zone) != 0:
# UTM
type='UTM'
units='m'
#start,stop = 637,764
#coords = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
#uly,ulx,ury,urx,lry,lrx,lly,llx = map(float, coords)
#ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
if datum == 'GDA94':epsg=int('283'+zone)
elif datum == 'AGD66':epsg=int('202'+zone)
elif datum == 'WGS84':epsg=int('327'+zone)
else: #Assume
type='GEO'
units='deg'
if datum=='GDA94':epsg=4283
else:epsg=4326 #Assume WGS84
gcps=[];i=0
lr=[[0,0],[ncols,0],[ncols,nrows],[0,nrows]]
while i < len(ext)-1: #don't need the last xy pair
gcp=gdal.GCP()
gcp.GCPPixel,gcp.GCPLine=lr[i]
gcp.GCPX,gcp.GCPY=ext[i]
gcp.Id=str(i)
gcps.append(gcp)
i+=1
geotransform = gdal.GCPsToGeoTransform(gcps)
cellx,celly=geometry.CellSize(geotransform)
rotation=geometry.Rotation(geotransform)
srs = osr.SpatialReference()
srs.ImportFromEPSG(epsg)
srs=srs.ExportToWkt()
self.metadata['satellite']=satellite
if satellite == 'LANDSAT-5':
self.metadata['sensor']='TM'
self.metadata['filetype'] ='CEOS/Landsat CCRS Format'
else:
self.metadata['sensor']='HRV'
self.metadata['filetype'] ='CEOS/SPOT CCRS Format'
self.metadata['filesize']=sum([os.path.getsize(file) for file in self.filelist])
self.metadata['srs'] = srs
self.metadata['epsg'] = epsg
self.metadata['units'] = units
self.metadata['cols'] = ncols
self.metadata['rows'] = nrows
self.metadata['nbands'] = nbands
self.metadata['bands'] = ','.join(bands)
self.metadata['nbits'] = 8
self.metadata['datatype'] = 'Byte'
self.metadata['nodata'] = 0
self.metadata['cellx'],self.metadata['celly']=map(float,[cellx,celly])
self.metadata['UL']='%s,%s' % tuple(ext[0])
self.metadata['UR']='%s,%s' % tuple(ext[1])
self.metadata['LR']='%s,%s' % tuple(ext[2])
self.metadata['LL']='%s,%s' % tuple(ext[3])
metadata=self._gdaldataset.GetMetadata()
self.metadata['metadata']='\n'.join(['%s: %s' %(m,hdf_self.metadata[m]) for m in metadata])
self.metadata['compressionratio']=0
self.metadata['compressiontype']='None'
self.extent=ext
def __getmetadata__(self, f=None):
'''Populate the metadata'''
if not f: f = self.fileinfo['filepath']
self._gdaldataset = geometry.OpenDataset(f)
led = glob.glob(os.path.dirname(f) +
'/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led, 'rb').read()
'''
metadata has 4 records, each is 4320 (LS) or 6120 (SPOT) bytes long:
File descriptor record;
Scene header record;
Map projection (scene-related) ancillary record;
Radiometric transformation ancillary record.
'''
#Record 2 - Scene header record
record = 2
recordlength = 4320 #LS 5
satellite = utilities.readbinary(meta, (record - 1) * recordlength,
309, 324)
#Scene ID, path/row & image date/time
start, stop = 37, 52
sceneid = utilities.readbinary(meta, (record - 1) * recordlength,
start, stop)
start, stop = 165, 180
pathrow = utilities.readbinary(meta, (record - 1) * recordlength,
start, stop)[1:]
start, stop = 117, 148
imgdate = utilities.readbinary(meta, (record - 1) * recordlength,
start, stop)
self.metadata['imgdate'] = time.strftime(
utilities.datetimeformat,
time.strptime(imgdate[0:14], '%Y%m%d%H%M%S')) #ISO 8601
#Ascending/descending flag
start, stop = 357, 372
if utilities.readbinary(meta, (record - 1) * recordlength, start,
stop) == 'D':
self.metadata['orbit'] = 'Descending'
else:
self.metadata['orbit'] = 'Ascending'
#Processing level
start, stop = 1573, 1588
self.metadata['level'] = utilities.readbinary(
meta, (record - 1) * recordlength, start, stop)
#Bands
start, stop = 1653, 1659
bands = []
actbands = utilities.readbinary(meta, (record - 1) * recordlength,
start, stop)
for i in range(0, 7): #Loop thru the 7 LS 5 bands
if actbands[i] == '1': bands.append(str(i + 1))
self._gdaldataset.GetRasterBand(i + 1).SetNoDataValue(0)
#Record 3 - Map projection (scene-related) ancillary record
record = 3
#Bands, rows & columns and rotation
nbands = int(self._gdaldataset.RasterCount)
start, stop = 333, 348
ncols = float(
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop))
start, stop = 349, 364
nrows = float(
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop))
start, stop = 445, 460
self.metadata['rotation'] = float(
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop))
if abs(self.metadata['rotation']) < 1:
self.metadata['orientation'] = 'Map oriented'
self.metadata['rotation'] = 0.0
else:
self.metadata['orientation'] = 'Path oriented'
#Sun elevation and azimuth
start, stop = 605, 620
self.metadata['sunelevation'] = float(
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop))
start, stop = 621, 636
self.metadata['sunazimuth'] = float(
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop))
#geometry.CellSizes
start, stop = 365, 396
(cellx, celly) = map(
float,
utilities.readbinary(meta, (record - 1) * recordlength, start,
stop).split())
start, stop = 397, 412
projection = utilities.readbinary(meta, (record - 1) * recordlength,
start, stop).split()
datum = projection[0]
zone = projection[1]
# lat/lons
start, stop = 765, 892
coords = utilities.readbinary(meta, (record - 1) * recordlength, start,
stop).split()
uly, ulx, ury, urx, lry, lrx, lly, llx = map(float, coords)
ext = [[ulx, uly], [urx, ury], [lrx, lry], [llx, lly], [ulx, uly]]
if int(zone) != 0:
# UTM
type = 'UTM'
units = 'm'
#start,stop = 637,764
#coords = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
#uly,ulx,ury,urx,lry,lrx,lly,llx = map(float, coords)
#ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
if datum == 'GDA94': epsg = int('283' + zone)
elif datum == 'AGD66': epsg = int('202' + zone)
elif datum == 'WGS84': epsg = int('327' + zone)
else: #Assume
type = 'GEO'
units = 'deg'
if datum == 'GDA94': epsg = 4283
else: epsg = 4326 #Assume WGS84
gcps = []
i = 0
lr = [[0, 0], [ncols, 0], [ncols, nrows], [0, nrows]]
while i < len(ext) - 1: #don't need the last xy pair
gcp = gdal.GCP()
gcp.GCPPixel, gcp.GCPLine = lr[i]
gcp.GCPX, gcp.GCPY = ext[i]
gcp.Id = str(i)
gcps.append(gcp)
i += 1
geotransform = gdal.GCPsToGeoTransform(gcps)
cellx, celly = geometry.CellSize(geotransform)
rotation = geometry.Rotation(geotransform)
srs = osr.SpatialReference()
srs.ImportFromEPSG(epsg)
srs = srs.ExportToWkt()
self.metadata['satellite'] = satellite
if satellite == 'LANDSAT-5':
self.metadata['sensor'] = 'TM'
self.metadata['filetype'] = 'CEOS/Landsat CCRS Format'
else:
self.metadata['sensor'] = 'HRV'
self.metadata['filetype'] = 'CEOS/SPOT CCRS Format'
self.metadata['filesize'] = sum(
[os.path.getsize(file) for file in self.filelist])
self.metadata['srs'] = srs
self.metadata['epsg'] = epsg
self.metadata['units'] = units
self.metadata['cols'] = ncols
self.metadata['rows'] = nrows
self.metadata['nbands'] = nbands
self.metadata['bands'] = ','.join(bands)
self.metadata['nbits'] = 8
self.metadata['datatype'] = 'Byte'
self.metadata['nodata'] = 0
self.metadata['cellx'], self.metadata['celly'] = map(
float, [cellx, celly])
self.metadata['UL'] = '%s,%s' % tuple(ext[0])
self.metadata['UR'] = '%s,%s' % tuple(ext[1])
self.metadata['LR'] = '%s,%s' % tuple(ext[2])
self.metadata['LL'] = '%s,%s' % tuple(ext[3])
metadata = self._gdaldataset.GetMetadata()
self.metadata['metadata'] = '\n'.join(
['%s: %s' % (m, hdf_self.metadata[m]) for m in metadata])
self.metadata['compressionratio'] = 0
self.metadata['compressiontype'] = 'None'
self.extent = ext
def __getmetadata__(self,f=None):
'''Populate metadata'''
if not f:f=self.fileinfo['filepath']
self._gdaldataset = geometry.OpenDataset(f)
led=glob.glob(os.path.dirname(f) + '/[Ll][Ee][Aa][Dd]*')[0] #volume file
meta = open(led,'rb').read()
######################
# Scene header record
######################
record=2
recordlength=3960 #SPOT recordlength=3960
##################
#SCENE PARAMETERS
##################
sceneid=utilities.readbinary(meta,(record-1)*recordlength,37,52)
cy=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,85,100),'HDDDMMSS') #Latitude of the Scene Centre
cx=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,101,116),'HDDDMMSS') #Longitude of the Scene Centre
uly=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,149,164),'HDDDMMSS')
ulx=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,165,180),'HDDDMMSS')
ury=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,213,228),'HDDDMMSS')
urx=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,229,244),'HDDDMMSS')
lly=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,277,292),'HDDDMMSS')
llx=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,293,308),'HDDDMMSS')
lry=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,341,356),'HDDDMMSS')
lrx=geometry.DMS2DD(utilities.readbinary(meta,(record-1)*recordlength,357,372),'HDDDMMSS')
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
######################
#IMAGING PARAMETERS
######################
self.metadata['rotation']=float(utilities.readbinary(meta,(record-1)*recordlength,437,452))
if abs(self.metadata['rotation']) < 1:
self.metadata['orientation']='Map oriented'
self.metadata['rotation']=0.0
else:self.metadata['orientation']='Path oriented'
self.metadata['sunazimuth']=float(utilities.readbinary(meta,(record-1)*recordlength,469,484))
self.metadata['sunelevation']=float(utilities.readbinary(meta,(record-1)*recordlength,485,500))
imgdate=utilities.readbinary(meta,(record-1)*recordlength,581,612)
#self.metadata['imgdate']=time.strftime(utilities.dateformat,time.strptime(imgdate[0:8],'%Y%m%d')) #ISO 8601
self.metadata['imgdate']=time.strftime(utilities.datetimeformat,time.strptime(imgdate[0:14],'%Y%m%d%H%M%S')) #ISO 8601
satellite=utilities.readbinary(meta,(record-1)*recordlength,613,628)
sensor=utilities.readbinary(meta,(record-1)*recordlength,629,644)
mode=utilities.readbinary(meta,(record-1)*recordlength,645,660)
######################
#IMAGE PARAMETERS
######################
ncols=int(utilities.readbinary(meta,(record-1)*recordlength,997,1012))
nrows=int(utilities.readbinary(meta,(record-1)*recordlength,1013,1028))
nbands=int(utilities.readbinary(meta,(record-1)*recordlength,1045,1060))
bands=utilities.readbinary(meta,(record-1)*recordlength,1061,1316).replace(' ',',')
self.metadata['level']=utilities.readbinary(meta,(record-1)*recordlength,1317,1332)
self.metadata['resampling']=utilities.readbinary(meta,(record-1)*recordlength,1365,1380)
if self.metadata['level']=='1A': #Not geometrically corrected. Cell size isn't really appropriate
gcps=geometry.ExtentToGCPs(ext,ncols,nrows)
gt=gdal.GCPsToGeoTransform(gcps)
cellx,celly=geometry.CellSize(gt)
else:
cellx=float(utilities.readbinary(meta,(record-1)*recordlength,1381,1396))
celly=float(utilities.readbinary(meta,(record-1)*recordlength,1397,1412))
#################################################
#Ancillary "Ephemeris / Attitude" record,
#################################################
record=3
viewangle=float(utilities.readbinary(meta,(record-1)*recordlength,3065,3076))
#################################################
#Map projection (scene-related) ancillary record
#################################################
record=26
projection = utilities.readbinary(meta,(record-1)*recordlength,21,52).replace('\x00','')
ellipsoid = utilities.readbinary(meta,(record-1)*recordlength,57,88).replace('\x00','')
datum = utilities.readbinary(meta,(record-1)*recordlength,101,132).replace('\x00','')
if 'UTM' in projection:
# UTM
type='UTM'
units='m'
zone=projection[3:-1]
if not zone:
zone=str(spatialreferences.lon2utmzone(cx))
if 'GDA' in datum: epsg=int('283'+zone)
elif 'AGD' in datum: epsg=int('202'+zone)
elif 'WGS' in datum: epsg=int('327'+zone) if projection[-1] =='S' else int('326'+zone)
else: #Assume
type='GEO'
units='deg'
if datum=='GDA94':epsg=4283
else:epsg=4326 #Assume WGS84
if 'GDA' in datum: epsg=4283
elif 'AGD' in datum: epsg=202
else: epsg=4326 #Assume WGS84'
#cell sizes are reported in metres even for geo projections
gcps=[];i=0
lr=[[0,0],[ncols,0],[ncols,nrows],[0,nrows]]
while i < len(ext)-1: #don't need the last xy pair
gcp=gdal.GCP()
gcp.GCPPixel,gcp.GCPLine=lr[i]
gcp.GCPX,gcp.GCPY=ext[i]
gcp.Id=str(i)
gcps.append(gcp)
i+=1
geotransform = gdal.GCPsToGeoTransform(gcps)
cellx,celly=geometry.CellSize(geotransform)
rotation=geometry.Rotation(geotransform)
srs = osr.SpatialReference()
srs.ImportFromEPSG(epsg)
srs=srs.ExportToWkt()
self.metadata['satellite']=satellite
self.metadata['sensor']=sensor
self.metadata['filetype'] ='CEOS/SPOT CCT Format'
self.metadata['filesize']=sum([os.path.getsize(file) for file in self.filelist])
self.metadata['sceneid'] = sceneid
self.metadata['srs'] = srs
self.metadata['epsg'] = epsg
self.metadata['units'] = units
self.metadata['cols'] = ncols
self.metadata['rows'] = nrows
self.metadata['nbands'] = nbands
self.metadata['bands'] = bands
self.metadata['nbits'] = 8
self.metadata['datatype'] = 'Byte'
self.metadata['nodata'] = 0
self.metadata['mode'] = mode
self.metadata['cellx'],self.metadata['celly']=map(float,[cellx,celly])
self.metadata['UL']='%s,%s' % tuple(ext[0])
self.metadata['UR']='%s,%s' % tuple(ext[1])
self.metadata['LR']='%s,%s' % tuple(ext[2])
self.metadata['LL']='%s,%s' % tuple(ext[3])
metadata=self._gdaldataset.GetMetadata()
self.metadata['metadata']='\n'.join(['%s: %s' %(m,hdf_self.metadata[m]) for m in metadata])
self.metadata['compressionratio']=0
self.metadata['compressiontype']='None'
self.extent=ext
def __getmetadata__(self,f=None):
'''Read Metadata for an ACRES ALOS AVNIR-2/PRISM/PALSAR format image as GDAL doesn't'''
#Local copies for brevity
vol=self._vol
led=self._led
if 'led-alpsr' in led.lower():driver='SAR_CEOS'
else:driver='CEOS'
extra_md={} #for holding any extra metadata which gets stuffed into self.metadata['metadata'] later on
self.metadata['satellite']='ALOS'
nodata = 0
#ACRES ortho product is in GTIFF format
tif=False
if driver=='SAR_CEOS': #PALSAR - assumes Level 1.5, Level 1.0 not implemented
#Format Description
#Level 1.0 - http://www.ga.gov.au/servlet/BigObjFileManager?bigobjid=GA10287
#Level 1.1/1.5 - http://www.eorc.jaxa.jp/ALOS/doc/fdata/PALSAR_x_Format_EK.pdf
self.metadata['sensor']='PALSAR'
self.metadata['filetype'] ='CEOS/ALOS PALSAR CEOS Format'
'''
volume file has 3-6 records, 360 bytes length:
Record Length
=========================
1 File descriptor 360
2 File pointer 360 (3-6 records = N+2 where N is number of polarization)
3 Text 360
'''
meta = open(vol,'rb').read()
#File descriptor record
offset = 0
#Number of file pointers
npointers=int(utilities.readbinary(meta,offset,161,164))
#Text record
offset = 360*(npointers+1)
#Product type specifier
start,stop = 17,56
prodspec = utilities.readbinary(meta,offset,start,stop)[8:] #Strip of the "'PRODUCT:" string
if prodspec[1:4] != '1.5':raise Exception, 'ALOS PALSAR Level %s not yet implemented' % level
if prodspec[0]=='H':self.metadata['mode']='Fine (high resolution) mode'
elif prodspec[0]=='W':self.metadata['mode']='ScanSAR (wide observation) mode'
elif prodspec[0]=='D':self.metadata['mode']='Direct Downlink mode'
elif prodspec[0]=='P':self.metadata['mode']='Polarimetry mode'
elif prodspec[0]=='C':self.metadata['mode']='Calibration mode'
level=prodspec[1:5]
orient=prodspec[4]
if orient=='G':self.metadata['orientation']='Map oriented'
else: self.metadata['orientation']='Path oriented'
orbit=prodspec[6]
'''
leader file has >9 records of variable length:
Record Length
============================================
1 File descriptor 720
2 Data set summary 4096
3 Map projection data 1620
4 Platform position data 4680
5 Attitude data 8192
6 Radiometric data 9860
7 Data quality summary 1620
8 Calibration data 13212
9 Facility related Variable
'''
meta = open(led,'rb').read()
#File descriptor
offset = 0
#Data set summary
offset = 720
#Scene ID
start,stop = 21,52
sceneid = utilities.readbinary(meta,offset,start,stop)
#Image date
start,stop = 69,100
#imgdate=utilities.readbinary(meta,offset,start,stop)[0:14]#Strip off time
#self.metadata['imgdate'] = time.strftime(utilities.dateformat,time.strptime(imgdate,'%Y%m%d')) #ISO 8601
imgdate=utilities.readbinary(meta,offset,start,stop)[0:14] #Keep time, strip off milliseconds
self.metadata['imgdate'] = time.strftime(utilities.datetimeformat,time.strptime(imgdate,'%Y%m%d%H%M%S')) #SAR Channels
start,stop = 389,392
nbands = int(utilities.readbinary(meta,offset,start,stop))
#Radar wavelength
start,stop = 501,516
wavelen = utilities.readbinary(meta,offset,start,stop)
extra_md['wavelength']=wavelen
#Nominal offnadir angle
start,stop = 1839,1854
self.metadata['viewangle'] = utilities.readbinary(meta,offset,start,stop)
#Map projection data
offset += 4096
#Cols & rows
start,stop = 61,76
ncols = int(utilities.readbinary(meta,offset,start,stop))
start,stop = 77,92
nrows = int(utilities.readbinary(meta,offset,start,stop))
#cell sizes (metres)
start,stop = 93,124
ypix,xpix = map(float,utilities.readbinary(meta,offset,start,stop).split())
#Orientation at output scene centre
start,stop = 125,140
rot = math.radians(float(utilities.readbinary(meta,offset,start,stop)))
#GeogCS
src_srs=osr.SpatialReference()
#src_srs.SetGeogCS('GRS 1980','GRS 1980','GRS 1980',6378137.00000,298.2572220972)
src_srs.SetWellKnownGeogCS( "WGS84" )
#Proj CS
start,stop = 413,444
projdesc = utilities.readbinary(meta,offset,start,stop)
epsg=0#default
if projdesc == 'UTM-PROJECTION':
nZone = int(utilities.readbinary(meta,offset,477,480))
dfFalseNorthing = float(utilities.readbinary(meta,offset,497,512))
if dfFalseNorthing > 0.0:
bNorth=False
epsg=32700+nZone
else:
bNorth=True
epsg=32600+nZone
src_srs.ImportFromEPSG(epsg)
#src_srs.SetUTM(nZone,bNorth) #generates WKT that osr.SpatialReference.AutoIdentifyEPSG() doesn't return an EPSG for
elif projdesc == 'UPS-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,625,640))
dfCenterLat = float(utilities.readbinary(meta,offset,641,656))
dfScale = float(utilities.readbinary(meta,offset,657,672))
src_srs.SetPS(dfCenterLat,dfCenterLon,dfScale,0.0,0.0)
elif projdesc == 'MER-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,737,752))
dfCenterLat = float(utilities.readbinary(meta,offset,753,768))
src_srs.SetMercator(dfCenterLat,dfCenterLon,0,0,0)
elif projdesc == 'LCC-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,737,752))
dfCenterLat = float(utilities.readbinary(meta,offset,753,768))
dfStdP1 = float(utilities.readbinary(meta,offset,769,784))
dfStdP2 = float(utilities.readbinary(meta,offset,785,800))
src_srs.SetLCC(dfStdP1,dfStdP2,dfCenterLat,dfCenterLon,0,0)
srs=src_srs.ExportToWkt()
if not epsg:epsg = spatialreferences.IdentifyAusEPSG(srs)
units = spatialreferences.GetLinearUnitsName(srs)
#UL-LR coords
##ext=[float(coord)*1000 for coord in utilities.readbinary(meta,offset,945,1072).split()] #Get lat/lon instead of eastings/northings
ext=[float(coord) for coord in utilities.readbinary(meta,offset,1073,1200).split()]
uly,ulx,ury,urx,lry,lrx,lly,llx=ext
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]] #last xy pair closes the poly
self.metadata['nbits'] = 16
self.metadata['datatype']='UInt16'
#Generate a GDAL Dataset object
self._gdaldataset=geometry.OpenDataset(self._imgs[0])
else: #ALOS AVNIR2/PRISM
##Format - http://www.ga.gov.au/servlet/BigObjFileManager?bigobjid=GA10285
'''
leader file has 5 records, each is 4680 bytes long:
1. File descriptor record;
2. Scene header record;
3. Map projection (scene-related) ancillary record;
4. Radiometric transformation ancillary record;
5. Platform position ancillary record.
'''
#ACRES ortho product is in GTIFF format
if '.tif' in self._imgs[0].lower():
tif=True
level='ORTHOCORRECTED'
__default__.Dataset.__getmetadata__(self, self._imgs[0])
meta = open(led,'rb').read()
recordlength = 4680
#Record 2 - Scene header record
record=2
#Processing level
if not tif:
start,stop = 21,36
procinfo = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
level=procinfo[1:4]
#if level != '1B2':raise Exception, 'Level %s PRISM is not supported' % level
self.metadata['level']==procinfo[1:4]
opt=procinfo[4:6].strip().strip('_')
if opt!='':level+='-'+opt
#SceneID
if level[0:3] == '1B2':start,stop = 197,212
else:start,stop = 37,52
sceneid = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#Lat/Lon of scene center
##if level[0:3] == '1B2':start,stop = 245,276
##else:start,stop = 85,116
##cenrow, cencol=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Line & Pixel number for scene center
##if level[0:3] == '1B2':start,stop = 245,276
##else:start,stop = 85,116
##cenrow, cencol=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Orientation Angle NNN.N = degrees
start,stop = 277,292
rot = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Ascending/descendit orbit
start,stop = 357,372
orbit = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#view, sun elevation and azimuth angles
start,stop = 373,388
self.metadata['viewangle'] = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
start,stop = 453,466
sunangles = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
self.metadata['sunelevation'] = sunangles[6:9].strip()
self.metadata['sunazimuth'] = sunangles[11:].strip()
#Image aquisition date
start,stop = 401,408
imgdate = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
imgdate = time.strptime(imgdate,'%d%b%y') #DDMmmYY
self.metadata['imgdate'] = time.strftime(utilities.dateformat,imgdate) #ISO 8601
#Sensor type and bands
start,stop = 443,452
sensor,bands=utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
if sensor=='PSM':
self.metadata['sensor']='PRISM'
if sceneid[5] == 'N': extra_md['SENSOR DIRECTION']='Nadir 35km'
elif sceneid[5] == 'W':extra_md['SENSOR DIRECTION']='Nadir 70km'
elif sceneid[5] == 'F':extra_md['SENSOR DIRECTION']='Forward 35km'
elif sceneid[5] == 'B':extra_md['SENSOR DIRECTION']='Backward 35km'
else:self.metadata['sensor']='AVNIR-2'
self.metadata['filetype'] ='CEOS/ALOS %s CEOS Format' % self.metadata['sensor']
self.metadata['bands']=','.join([band for band in bands])
#Processing info
if not tif:
start,stop = 467,478
procinfo = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
orient=procinfo[-1]
if orient=='G':self.metadata['orientation']='Map oriented'
else:self.metadata['orientation']='Path oriented'
#No. bands
start,stop = 1413,1428
nbands = int(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#No. cols
start,stop = 1429,1444
ncols = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#No. rows
start,stop = 1445,1460
nrows = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Resampling
start,stop = 1541,1556
res = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
if res=='NNNNN':self.metadata['resampling']='' #Raw (L1A,L1B1)
elif res=='YNNNN':self.metadata['resampling']='NN' #Nearest neighbour
elif res=='NYNNN':self.metadata['resampling']='BL' #Bi-linear
elif res=='NNYNN':self.metadata['resampling']='CC' #Cubic convolution
#Lat/Lon extent
start,stop = 1733,1860
coords = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
uly,ulx,ury,urx,lly,llx,lry,lrx = map(float, coords)
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
if not tif:
#Record 3
record=3
#Hemisphere
start,stop = 93,96
hemi = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#UTM Zone - revisit if we get polarstereographic projection products
start,stop = 97,108
utm = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
if hemi=='1': #South
epsg=int('327%s' % utm) #Assume WGS84
else: #North
epsg=int('326%s' % utm)
src_srs = osr.SpatialReference()
src_srs.ImportFromEPSG(epsg)
units = 'm'
#Scene center position - revisit if we get polarstereographic projection products
##start,stop = 141,156
##ceny = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop)) * 1000 #(Northing - km)
##start,stop = 157,172
##cenx = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop)) * 1000 #(Easting - km)
#Orientation Angle NNN.N = radians
start,stop = 205,220
rot = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Pixel size (x)
start,stop=541,572
xpix,ypix=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Get extent of scene
##xmin=(cenx+xpix/2)-(cencol*xpix)
##ymin=(ceny+ypix/2)-(cenrow*ypix)
##xmax=xmin+(ncols*xpix)
##ymax=ymin+(nrows*ypix)
##if procinfo[-1]=='R': #Calculate rotated extent coordinates
## ##angc=math.cos(rot)
## ##angs=math.sin(rot)
## angc=math.cos(math.radians(rot))
## angs=math.sin(math.radians(rot))
## ulx = (xmin-cenx)*angc + (ymax-ceny)*angs+cenx
## uly = -(xmin-cenx)*angs + (ymax-ceny)*angc+ceny
## llx = (xmin-cenx)*angc + (ymin-ceny)*angs+cenx
## lly = -(xmin-cenx)*angs + (ymin-ceny)*angc+ceny
## urx = (xmax-cenx)*angc + (ymax-ceny)*angs+cenx
## ury = -(xmax-cenx)*angs + (ymax-ceny)*angc+ceny
## lrx = (xmax-cenx)*angc + (ymin-ceny)*angs+cenx
## lry = -(xmax-cenx)*angs + (ymin-ceny)*angc+ceny
##else: #Just use xmin etc...
## ulx,uly = xmin,ymax
## llx,lly = xmin,ymin
## urx,ury = xmax,ymax
## lrx,lry = xmax,ymin
##ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
#Geotransform
##gcps=[];i=0
##lr=[[0,0],[ncols,0],[ncols,nrows],[0,nrows]]
##while i < len(ext)-1: #don't need the last xy pair
## gcp=gdal.GCP()
## gcp.GCPPixel,gcp.GCPLine=lr[i]
## gcp.GCPX,gcp.GCPY=ext[i]
## gcp.Id=str(i)
## gcps.append(gcp)
## i+=1
##geotransform = gdal.GCPsToGeoTransform(gcps)
self.metadata['nbits'] = 8
self.metadata['datatype'] = 'Byte'
#Generate a VRT GDAL Dataset object
self._imgs.sort()
img=self._imgs[0]
meta = open(img,'rb').read(1024)
start,stop = 187,192
record=1
recordlength=0
offset=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#don't use ALOS provided no. cols, as it doesn't include 'dummy' pixels
#vrt=geometry.CreateRawRasterVRT(self._imgs,self.metadata['cols'],self.metadata['rows'],self.metadata['datatype'],offset,byteorder='MSB')
vrt=geometry.CreateRawRasterVRT(self._imgs,offset,nrows,self.metadata['datatype'],offset,byteorder='MSB')
self._gdaldataset=geometry.OpenDataset(vrt)
#Reproject corners to lon,lat
##geom = geometry.GeomFromExtent(ext)
##tgt_srs=osr.SpatialReference()
##tgt_srs.ImportFromEPSG(4326)
##geom=geometry.ReprojectGeom(geom,src_srs,tgt_srs)
##points=geom.GetBoundary()
##ext=[[points.GetX(i),points.GetY(i)] for i in range(0,points.GetPointCount())]
#Fix for Issue 17
for i in range(1,self._gdaldataset.RasterCount+1):
self._gdaldataset.GetRasterBand(i).SetNoDataValue(nodata)
self.metadata['level'] = level
self.metadata['sceneid'] = sceneid
if orbit=='A':self.metadata['orbit']='Ascending'
else: self.metadata['orbit']='Descending'
self.metadata['metadata']='\n'.join(['%s: %s' %(m,extra_md[m]) for m in extra_md])
if not tif:
self.metadata['filesize']=sum([os.path.getsize(tmp) for tmp in self.filelist])
self.metadata['srs'] = src_srs.ExportToWkt()
self.metadata['epsg'] = epsg
self.metadata['units'] = units
self.metadata['cols'] = ncols
self.metadata['rows'] = nrows
self.metadata['nbands'] = nbands
if abs(math.degrees(rot)) < 1.0:self.metadata['rotation'] = 0.0
else: self.metadata['rotation'] = math.degrees(rot)
self.metadata['UL']='%s,%s' % tuple(ext[0])
self.metadata['UR']='%s,%s' % tuple(ext[1])
self.metadata['LR']='%s,%s' % tuple(ext[2])
self.metadata['LL']='%s,%s' % tuple(ext[3])
self.metadata['cellx'],self.metadata['celly']=xpix,ypix
self.metadata['nodata'] = nodata
self.metadata['compressionratio']=0
self.metadata['compressiontype']='None'
self.extent=ext
def __getmetadata__(self,f=None):
'''Read Metadata for an ACRES ALOS AVNIR-2/PRISM/PALSAR format image as GDAL doesn't'''
#Local copies for brevity
vol=self._vol
led=self._led
if 'led-alpsr' in led.lower():driver='SAR_CEOS'
else:driver='CEOS'
extra_md={} #for holding any extra metadata which gets stuffed into self.metadata['metadata'] later on
self.metadata['satellite']='ALOS'
nodata = 0
#ACRES ortho product is in GTIFF format
tif=False
if driver=='SAR_CEOS': #PALSAR - assumes Level 1.5, Level 1.0 not implemented
#Format Description
#Level 1.0 - http://www.ga.gov.au/servlet/BigObjFileManager?bigobjid=GA10287
#Level 1.1/1.5 - http://www.eorc.jaxa.jp/ALOS/doc/fdata/PALSAR_x_Format_EK.pdf
self.metadata['sensor']='PALSAR'
self.metadata['filetype'] ='CEOS/ALOS PALSAR CEOS Format'
'''
volume file has 3-6 records, 360 bytes length:
Record Length
=========================
1 File descriptor 360
2 File pointer 360 (3-6 records = N+2 where N is number of polarization)
3 Text 360
'''
meta = open(vol,'rb').read()
#File descriptor record
offset = 0
#Number of file pointers
npointers=int(utilities.readbinary(meta,offset,161,164))
#Text record
offset = 360*(npointers+1)
#Product type specifier
start,stop = 17,56
prodspec = utilities.readbinary(meta,offset,start,stop)[8:] #Strip of the "'PRODUCT:" string
if prodspec[1:4] != '1.5':raise Exception, 'ALOS PALSAR Level %s not yet implemented' % level
if prodspec[0]=='H':self.metadata['mode']='Fine (high resolution) mode'
elif prodspec[0]=='W':self.metadata['mode']='ScanSAR (wide observation) mode'
elif prodspec[0]=='D':self.metadata['mode']='Direct Downlink mode'
elif prodspec[0]=='P':self.metadata['mode']='Polarimetry mode'
elif prodspec[0]=='C':self.metadata['mode']='Calibration mode'
level=prodspec[1:5]
orient=prodspec[4]
if orient=='G':self.metadata['orientation']='Map oriented'
else: self.metadata['orientation']='Path oriented'
orbit=prodspec[6]
'''
leader file has >9 records of variable length:
Record Length
============================================
1 File descriptor 720
2 Data set summary 4096
3 Map projection data 1620
4 Platform position data 4680
5 Attitude data 8192
6 Radiometric data 9860
7 Data quality summary 1620
8 Calibration data 13212
9 Facility related Variable
'''
meta = open(led,'rb').read()
#File descriptor
offset = 0
#Data set summary
offset = 720
#Scene ID
start,stop = 21,52
sceneid = utilities.readbinary(meta,offset,start,stop)
#Image date
start,stop = 69,100
#imgdate=utilities.readbinary(meta,offset,start,stop)[0:14]#Strip off time
#self.metadata['imgdate'] = time.strftime(utilities.dateformat,time.strptime(imgdate,'%Y%m%d')) #ISO 8601
imgdate=utilities.readbinary(meta,offset,start,stop)[0:14] #Keep time, strip off milliseconds
self.metadata['imgdate'] = time.strftime(utilities.datetimeformat,time.strptime(imgdate,'%Y%m%d%H%M%S')) #SAR Channels
start,stop = 389,392
nbands = int(utilities.readbinary(meta,offset,start,stop))
#Radar wavelength
start,stop = 501,516
wavelen = utilities.readbinary(meta,offset,start,stop)
extra_md['wavelength']=wavelen
#Nominal offnadir angle
start,stop = 1839,1854
self.metadata['viewangle'] = utilities.readbinary(meta,offset,start,stop)
#Map projection data
offset += 4096
#Cols & rows
start,stop = 61,76
ncols = int(utilities.readbinary(meta,offset,start,stop))
start,stop = 77,92
nrows = int(utilities.readbinary(meta,offset,start,stop))
#cell sizes (metres)
start,stop = 93,124
ypix,xpix = map(float,utilities.readbinary(meta,offset,start,stop).split())
#Orientation at output scene centre
start,stop = 125,140
rot = math.radians(float(utilities.readbinary(meta,offset,start,stop)))
#GeogCS
src_srs=osr.SpatialReference()
#src_srs.SetGeogCS('GRS 1980','GRS 1980','GRS 1980',6378137.00000,298.2572220972)
src_srs.SetWellKnownGeogCS( "WGS84" )
#Proj CS
start,stop = 413,444
projdesc = utilities.readbinary(meta,offset,start,stop)
epsg=0#default
if projdesc == 'UTM-PROJECTION':
nZone = int(utilities.readbinary(meta,offset,477,480))
dfFalseNorthing = float(utilities.readbinary(meta,offset,497,512))
if dfFalseNorthing > 0.0:
bNorth=False
epsg=32700+nZone
else:
bNorth=True
epsg=32600+nZone
src_srs.ImportFromEPSG(epsg)
#src_srs.SetUTM(nZone,bNorth) #generates WKT that osr.SpatialReference.AutoIdentifyEPSG() doesn't return an EPSG for
elif projdesc == 'UPS-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,625,640))
dfCenterLat = float(utilities.readbinary(meta,offset,641,656))
dfScale = float(utilities.readbinary(meta,offset,657,672))
src_srs.SetPS(dfCenterLat,dfCenterLon,dfScale,0.0,0.0)
elif projdesc == 'MER-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,737,752))
dfCenterLat = float(utilities.readbinary(meta,offset,753,768))
src_srs.SetMercator(dfCenterLat,dfCenterLon,0,0,0)
elif projdesc == 'LCC-PROJECTION':
dfCenterLon = float(utilities.readbinary(meta,offset,737,752))
dfCenterLat = float(utilities.readbinary(meta,offset,753,768))
dfStdP1 = float(utilities.readbinary(meta,offset,769,784))
dfStdP2 = float(utilities.readbinary(meta,offset,785,800))
src_srs.SetLCC(dfStdP1,dfStdP2,dfCenterLat,dfCenterLon,0,0)
srs=src_srs.ExportToWkt()
if not epsg:epsg = spatialreferences.IdentifyAusEPSG(srs)
units = spatialreferences.GetLinearUnitsName(srs)
#UL-LR coords
##ext=[float(coord)*1000 for coord in utilities.readbinary(meta,offset,945,1072).split()] #Get lat/lon instead of eastings/northings
ext=[float(coord) for coord in utilities.readbinary(meta,offset,1073,1200).split()]
uly,ulx,ury,urx,lry,lrx,lly,llx=ext
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]] #last xy pair closes the poly
self.metadata['nbits'] = 16
self.metadata['datatype']='UInt16'
#Generate a GDAL Dataset object
self._gdaldataset=geometry.OpenDataset(self._imgs[0])
else: #ALOS AVNIR2/PRISM
##Format - http://www.ga.gov.au/servlet/BigObjFileManager?bigobjid=GA10285
'''
leader file has 5 records, each is 4680 bytes long:
1. File descriptor record;
2. Scene header record;
3. Map projection (scene-related) ancillary record;
4. Radiometric transformation ancillary record;
5. Platform position ancillary record.
'''
#ACRES ortho product is in GTIFF format
if '.tif' in self._imgs[0].lower():
tif=True
level='ORTHOCORRECTED'
__default__.Dataset.__getmetadata__(self, self._imgs[0])
meta = open(led,'rb').read()
recordlength = 4680
#Record 2 - Scene header record
record=2
#Processing level
if not tif:
start,stop = 21,36
procinfo = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
level=procinfo[1:4]
#if level != '1B2':raise Exception, 'Level %s PRISM is not supported' % level
self.metadata['level']==procinfo[1:4]
opt=procinfo[4:6].strip().strip('_')
if opt!='':level+='-'+opt
#SceneID
if level[0:3] == '1B2':start,stop = 197,212
else:start,stop = 37,52
sceneid = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#Lat/Lon of scene center
##if level[0:3] == '1B2':start,stop = 245,276
##else:start,stop = 85,116
##cenrow, cencol=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Line & Pixel number for scene center
##if level[0:3] == '1B2':start,stop = 245,276
##else:start,stop = 85,116
##cenrow, cencol=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Orientation Angle NNN.N = degrees
start,stop = 277,292
rot = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Ascending/descendit orbit
start,stop = 357,372
orbit = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#view, sun elevation and azimuth angles
start,stop = 373,388
self.metadata['viewangle'] = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
start,stop = 453,466
sunangles = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
self.metadata['sunelevation'] = sunangles[6:9].strip()
self.metadata['sunazimuth'] = sunangles[11:].strip()
#Image aquisition date
start,stop = 401,408
imgdate = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
imgdate = time.strptime(imgdate,'%d%b%y') #DDMmmYY
self.metadata['imgdate'] = time.strftime(utilities.dateformat,imgdate) #ISO 8601
#Sensor type and bands
start,stop = 443,452
sensor,bands=utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
if sensor=='PSM':
self.metadata['sensor']='PRISM'
if sceneid[5] == 'N': extra_md['SENSOR DIRECTION']='Nadir 35km'
elif sceneid[5] == 'W':extra_md['SENSOR DIRECTION']='Nadir 70km'
elif sceneid[5] == 'F':extra_md['SENSOR DIRECTION']='Forward 35km'
elif sceneid[5] == 'B':extra_md['SENSOR DIRECTION']='Backward 35km'
else:self.metadata['sensor']='AVNIR-2'
self.metadata['filetype'] ='CEOS/ALOS %s CEOS Format' % self.metadata['sensor']
self.metadata['bands']=','.join([band for band in bands])
#Processing info
if not tif:
start,stop = 467,478
procinfo = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
orient=procinfo[-1]
if orient=='G':self.metadata['orientation']='Map oriented'
else:self.metadata['orientation']='Path oriented'
#No. bands
start,stop = 1413,1428
nbands = int(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#No. cols
start,stop = 1429,1444
ncols = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#No. rows
start,stop = 1445,1460
nrows = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Resampling
start,stop = 1541,1556
res = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
if res=='NNNNN':self.metadata['resampling']='' #Raw (L1A,L1B1)
elif res=='YNNNN':self.metadata['resampling']='NN' #Nearest neighbour
elif res=='NYNNN':self.metadata['resampling']='BL' #Bi-linear
elif res=='NNYNN':self.metadata['resampling']='CC' #Cubic convolution
#Lat/Lon extent
start,stop = 1733,1860
coords = utilities.readbinary(meta,(record-1)*recordlength,start,stop).split()
uly,ulx,ury,urx,lly,llx,lry,lrx = map(float, coords)
ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
if not tif:
#Record 3
record=3
#Hemisphere
start,stop = 93,96
hemi = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#UTM Zone - revisit if we get polarstereographic projection products
start,stop = 97,108
utm = utilities.readbinary(meta,(record-1)*recordlength,start,stop)
if hemi=='1': #South
epsg=int('327%s' % utm) #Assume WGS84
else: #North
epsg=int('326%s' % utm)
src_srs = osr.SpatialReference()
src_srs.ImportFromEPSG(epsg)
units = 'm'
#Scene center position - revisit if we get polarstereographic projection products
##start,stop = 141,156
##ceny = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop)) * 1000 #(Northing - km)
##start,stop = 157,172
##cenx = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop)) * 1000 #(Easting - km)
#Orientation Angle NNN.N = radians
start,stop = 205,220
rot = float(utilities.readbinary(meta,(record-1)*recordlength,start,stop))
#Pixel size (x)
start,stop=541,572
xpix,ypix=map(float,utilities.readbinary(meta,(record-1)*recordlength,start,stop).split())
#Get extent of scene
##xmin=(cenx+xpix/2)-(cencol*xpix)
##ymin=(ceny+ypix/2)-(cenrow*ypix)
##xmax=xmin+(ncols*xpix)
##ymax=ymin+(nrows*ypix)
##if procinfo[-1]=='R': #Calculate rotated extent coordinates
## ##angc=math.cos(rot)
## ##angs=math.sin(rot)
## angc=math.cos(math.radians(rot))
## angs=math.sin(math.radians(rot))
## ulx = (xmin-cenx)*angc + (ymax-ceny)*angs+cenx
## uly = -(xmin-cenx)*angs + (ymax-ceny)*angc+ceny
## llx = (xmin-cenx)*angc + (ymin-ceny)*angs+cenx
## lly = -(xmin-cenx)*angs + (ymin-ceny)*angc+ceny
## urx = (xmax-cenx)*angc + (ymax-ceny)*angs+cenx
## ury = -(xmax-cenx)*angs + (ymax-ceny)*angc+ceny
## lrx = (xmax-cenx)*angc + (ymin-ceny)*angs+cenx
## lry = -(xmax-cenx)*angs + (ymin-ceny)*angc+ceny
##else: #Just use xmin etc...
## ulx,uly = xmin,ymax
## llx,lly = xmin,ymin
## urx,ury = xmax,ymax
## lrx,lry = xmax,ymin
##ext=[[ulx,uly],[urx,ury],[lrx,lry],[llx,lly],[ulx,uly]]
#Geotransform
##gcps=[];i=0
##lr=[[0,0],[ncols,0],[ncols,nrows],[0,nrows]]
##while i < len(ext)-1: #don't need the last xy pair
## gcp=gdal.GCP()
## gcp.GCPPixel,gcp.GCPLine=lr[i]
## gcp.GCPX,gcp.GCPY=ext[i]
## gcp.Id=str(i)
## gcps.append(gcp)
## i+=1
##geotransform = gdal.GCPsToGeoTransform(gcps)
self.metadata['nbits'] = 8
self.metadata['datatype'] = 'Byte'
#Generate a VRT GDAL Dataset object
self._imgs.sort()
img=self._imgs[0]
meta = open(img,'rb').read(1024)
start,stop = 187,192
record=1
recordlength=0
offset=utilities.readbinary(meta,(record-1)*recordlength,start,stop)
#don't use ALOS provided no. cols, as it doesn't include 'dummy' pixels
#vrt=geometry.CreateRawRasterVRT(self._imgs,self.metadata['cols'],self.metadata['rows'],self.metadata['datatype'],offset,byteorder='MSB')
vrt=geometry.CreateRawRasterVRT(self._imgs,offset,nrows,self.metadata['datatype'],offset,byteorder='MSB')
self._gdaldataset=geometry.OpenDataset(vrt)
#Reproject corners to lon,lat
##geom = geometry.GeomFromExtent(ext)
##tgt_srs=osr.SpatialReference()
##tgt_srs.ImportFromEPSG(4326)
##geom=geometry.ReprojectGeom(geom,src_srs,tgt_srs)
##points=geom.GetBoundary()
##ext=[[points.GetX(i),points.GetY(i)] for i in range(0,points.GetPointCount())]
#Fix for Issue 17
for i in range(1,self._gdaldataset.RasterCount+1):
self._gdaldataset.GetRasterBand(i).SetNoDataValue(nodata)
self.metadata['level'] = level
self.metadata['sceneid'] = sceneid
if orbit=='A':self.metadata['orbit']='Ascending'
else: self.metadata['orbit']='Descending'
self.metadata['metadata']='\n'.join(['%s: %s' %(m,extra_md[m]) for m in extra_md])
if not tif:
self.metadata['filesize']=sum([os.path.getsize(tmp) for tmp in self.filelist])
self.metadata['srs'] = src_srs.ExportToWkt()
self.metadata['epsg'] = epsg
self.metadata['units'] = units
self.metadata['cols'] = ncols
self.metadata['rows'] = nrows
self.metadata['nbands'] = nbands
if abs(math.degrees(rot)) < 1.0:self.metadata['rotation'] = 0.0
else: self.metadata['rotation'] = math.degrees(rot)
self.metadata['UL']='%s,%s' % tuple(ext[0])
self.metadata['UR']='%s,%s' % tuple(ext[1])
self.metadata['LR']='%s,%s' % tuple(ext[2])
self.metadata['LL']='%s,%s' % tuple(ext[3])
self.metadata['cellx'],self.metadata['celly']=xpix,ypix
self.metadata['nodata'] = nodata
self.metadata['compressionratio']=0
self.metadata['compressiontype']='None'
self.extent=ext
